320 Repositories
Python online-clustering Libraries
1st Online Python Editor With Live Syntax Checking and Execution
PythonBuddy 🖊️ 🐍 Online Python 3 Programming with Live Pylint Syntax Checking! Usage Fetch from repo: git clone https://github.com/ethanchewy/Python
iBOT: Image BERT Pre-Training with Online Tokenizer
Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.
iBOT: Image BERT Pre-Training with Online Tokenizer
Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.
A spider for Universal Online Judge(UOJ) system, converting problem pages to PDFs.
Universal Online Judge Spider Introduction This is a spider for Universal Online Judge (UOJ) system (https://uoj.ac/). It also works for all other Onl
Experiments with the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.
OnlineSearchRBIS Online Search with Best-Price and Query-Based Predictions This is the implementation of the Robust Binary Interval Search (RBIS) algo
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
A simple, light-weight and highly maintainable online judge system for secondary education
y³OJ a simple, light-weight and highly maintainable online judge system for secondary education 一个简单、轻量化、易于维护的、为中学信息技术学科课业教学设计的 Online Judge 系统。 Onlin
An implementation of the AdaOPS (Adaptive Online Packing-based Search), which is an online POMDP Solver used to solve problems defined with the POMDPs.jl generative interface.
AdaOPS An implementation of the AdaOPS (Adaptive Online Packing-guided Search), which is an online POMDP Solver used to solve problems defined with th
Autoencoders pretraining using clustering
Autoencoders pretraining using clustering
clustimage is a python package for unsupervised clustering of images.
clustimage The aim of clustimage is to detect natural groups or clusters of images. Image recognition is a computer vision task for identifying and ve
Fast and robust clustering of point clouds generated with a Velodyne sensor.
Depth Clustering This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velo
An Exact Solver for Semi-supervised Minimum Sum-of-Squares Clustering
PC-SOS-SDP: an Exact Solver for Semi-supervised Minimum Sum-of-Squares Clustering PC-SOS-SDP is an exact algorithm based on the branch-and-bound techn
Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic plasticity".
Impression-Learning-Camera-Ready Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic
Official implementation of the NeurIPS 2021 paper Online Learning Of Neural Computations From Sparse Temporal Feedback
Online Learning Of Neural Computations From Sparse Temporal Feedback This repository is the official implementation of the NeurIPS 2021 paper Online L
GroundSeg Clustering Optimized Kdtree
ground seg and clustering based on kitti velodyne data, and a additional optimized kdtree for knn and radius nn search
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
This is a code repository for the paper "Graph Auto-Encoders for Financial Clustering".
Repository for the paper "Graph Auto-Encoders for Financial Clustering" Requirements Python 3.6 torch torch_geometric Instructions This is a simple c
Mixing up the Invariant Information clustering architecture, with self supervised concepts from SimCLR and MoCo approaches
Self Supervised clusterer Combined IIC, and Moco architectures, with some SimCLR notions, to get state of the art unsupervised clustering while retain
Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".
Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification
BanditPAM: Almost Linear-Time k-Medoids Clustering
BanditPAM: Almost Linear-Time k-Medoids Clustering This repo contains a high-performance implementation of BanditPAM from BanditPAM: Almost Linear-Tim
Sequence clustering and database creation using mmseqs, from local fasta files
Sequence clustering and database creation using mmseqs, from local fasta files
A simply program to find active jackbox.tv game codes
PeepingJack A simply program to find active jackbox.tv game codes How does this work? It uses a threadpool to loop through all possible codes in a ran
A collection of online resources to help you on your Tech journey.
Everything Tech Resources & Projects About The Project Coming from an engineering background and looking to up skill yourself on a new field can be di
This is a menu driven Railway Reservation Project which is mainly based on the python-mysql connectivity.
Online-Railway-Reservation-System This is a menu driven Railway Reservation Project which is mainly based on the python-mysql connectivity. The projec
Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019). Including competition model, online demo, etc.
Box_Discretization_Network This repository is built on the pytorch [maskrcnn_benchmark]. The method is the foundation of our ReCTs-competition method
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods
ADGC: Awesome Deep Graph Clustering ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets).
A python package to easy the integration with Direct Online Pay (Mpesa, TigoPesa, AirtelMoney, Card Payments)
python-dpo A python package to easy the integration with Direct Online Pay (DPO) which easily allow you easily integrate with payment options once wit
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
ICCVW21-TradiCV-Survey-of-LiDAR-Cluster Motivation In contrast to popular end-to-end deep learning LiDAR panoptic segmentation solutions, we propose a
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
Tutela: an Ethereum and Tornado Cash Anonymity Tool
Tutela: an Ethereum and Tornado Cash Anonymity Tool The repo contains open-source code for Tutela, an anonymity tool for Ethereum and Tornado Cash use
Deep and online learning with spiking neural networks in Python
Introduction The brain is the perfect place to look for inspiration to develop more efficient neural networks. One of the main differences with modern
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.
Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H
PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.
An open-source, low-code machine learning library in Python 🚀 Version 2.3.5 out now! Check out the release notes here. Official • Docs • Install • Tu
A library for efficient similarity search and clustering of dense vectors.
Faiss Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any
Infomap is a network clustering algorithm based on the Map equation.
Infomap Infomap is a network clustering algorithm based on the Map equation. For detailed documentation, see mapequation.org/infomap. For a list of re
Emotion classification of online comments based on RNN
emotion_classification Emotion classification of online comments based on RNN, the accuracy of the model in the test set reaches 99% data: Large Movie
Python scripts to interact with Upper Deck ePack online trading card platform
This script should connect to the Upper Deck ePack API using your browser cookies and download a list of your current collection and save it as a CSV.
A simple, configurable and expandable combined shop scraper to minimize the costs of ordering several items
combined-shop-scraper A simple, configurable and expandable combined shop scraper to minimize the costs of ordering several items. Features Define an
Unsupervised clustering of high content screen samples
Microscopium Unsupervised clustering and dataset exploration for high content screens. See microscopium in action Public dataset BBBC021 from the Broa
K-Means clusternig example with Python and Scikit-learn
Unsupervised-Machine-Learning Flat Clustering K-Means clusternig example with Python and Scikit-learn Flat clustering Clustering algorithms group a se
Online HackerRank problem solving challenges
LinkedListHackerRank Online HackerRank problem solving challenges This challenge is part of a tutorial track by MyCodeSchool You are given the pointer
A Python module for clustering creators of social media content into networks
sm_content_clustering A Python module for clustering creators of social media content into networks. Currently supports identifying potential networks
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning (ECCV 2020 Oral and TRO)
Visual Interestingness Refer to the project description for more details. This code based on the following paper. Chen Wang, Yuheng Qiu, Wenshan Wang,
PyTorch implementation for our NeurIPS 2021 Spotlight paper "Long Short-Term Transformer for Online Action Detection".
Long Short-Term Transformer for Online Action Detection Introduction This is a PyTorch implementation for our NeurIPS 2021 Spotlight paper "Long Short
OLDBot (Online Lessons Discord Bot)
This program is designed to facilitate online lessons. With this you don't need to get up early. Just config and watch the program resolve itself. It automatically enters to the lesson at the specified start time, mutes itself and enters a text that we set.
Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.
Self Organising Map for Clustering of Atomistic Samples - V2 Description Self Organising Map (also known as Kohonen Network) implemented in Python for
A high performance implementation of HDBSCAN clustering.
HDBSCAN HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates
PyClustering is a Python, C++ data mining library.
pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks). The library provides Python and C++ implementations (C++ pyclustering library) of each algorithm or model. C++ pyclustering library is a part of pyclustering and supported for Linux, Windows and MacOS operating systems.
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu
Buckshot++ is a new algorithm that finds highly stable clusters efficiently.
Buckshot++: An Outlier-Resistant and Scalable Clustering Algorithm. (Inspired by the Buckshot Algorithm.) Here, we introduce a new algorithm, which we
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.
tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s
MiniSom is a minimalistic implementation of the Self Organizing Maps
MiniSom Self Organizing Maps MiniSom is a minimalistic and Numpy based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial N
Implements (high-dimenstional) clustering algorithm
Description Implements (high-dimenstional) clustering algorithm described in https://arxiv.org/pdf/1804.02624.pdf Dependencies python3 pytorch (=0.4)
Hyperbolic Hierarchical Clustering.
Hyperbolic Hierarchical Clustering (HypHC) This code is the official PyTorch implementation of the NeurIPS 2020 paper: From Trees to Continuous Embedd
Online-compatible Unsupervised Non-resonant Anomaly Detection Repository
Online-compatible Unsupervised Non-resonant Anomaly Detection Repository Repository containing all scripts used in the studies of Online-compatible Un
Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop
Spectral-spatial contrastive clustering (SSCC) Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, and Xiaobo Liu, Large-scale Hyperspectral Image Clusteri
A collection of online resources to help you on your Tech journey.
Everything Tech Resources & Projects About The Project Coming from an engineering background and looking to up skill yourself on a new field can be di
Discord Online Account Forever
💠 Discord-Online-Account-Forever Discord Online Account Forever 📸 Tutorial Token Discord NEVER SHARE YOUR TOKEN Installation Replit 🧿 Replit : Here
🌊 River is a Python library for online machine learning.
River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.
onelearn: Online learning in Python
onelearn: Online learning in Python Documentation | Reproduce experiments | onelearn stands for ONE-shot LEARNning. It is a small python package for o
Information about the weather in a city written using Python
Information about the weather in a city Enter the desired city Climate information of the target city This program is written using Python programming
A python package to easy the integration with Direct Online Pay (Mpesa, TigoPesa, AirtelMoney, Card Payments)
A python package to easy the integration with Direct Online Pay (DPO) which easily allow you easily integrate with payment options once without having to deal with each of them individually;
On the 11/11/21 the apache 2.4.49-2.4.50 remote command execution POC has been published online and this is a loader so that you can mass exploit servers using this.
ApacheRCE ApacheRCE is a small little python script that will allow you to input the apache version 2.4.49-2.4.50 and then input a list of ip addresse
Astroquery is an astropy affiliated package that contains a collection of tools to access online Astronomical data.
Astroquery is an astropy affiliated package that contains a collection of tools to access online Astronomical data.
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
DynaBOA Code repositoty for the paper: Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation Shanyan Guan, Jingwei Xu, Michell
A package for music online and offline rhythmic information analysis including music Beat, downbeat, tempo and meter tracking.
BeatNet A package for music online and offline rhythmic information analysis including music Beat, downbeat, tempo and meter tracking. This repository
An open-source online reverse dictionary.
An open-source online reverse dictionary.
An online markdown resume template project, based on pywebio
An online markdown resume template project, based on pywebio
Sample code for Harry's Airflow online trainng course
Sample code for Harry's Airflow online trainng course You can find the videos on youtube or bilibili. I am working on adding below things: the slide p
Crossover Learning for Fast Online Video Instance Segmentation (ICCV 2021)
TL;DR: CrossVIS (Crossover Learning for Fast Online Video Instance Segmentation) proposes a novel crossover learning paradigm to fully leverage rich c
Online Marketplace API
Online Marketplace API Table of Contents Setup Instructions Documentation Setup instructions Make sure you have python installed Clone the repository
Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation
Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation Overview Consider the scenario in which advertisement
cLoops2: full stack analysis tool for chromatin interactions
cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base
A program to read, edit, and write save files for the game Railroads! Online
RROSE - v0.3.6 This program is intended to be used as an external tool to Railroads Online server hosts. It will read save files, allow to modify entr
3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay 3rd Place Solution for ICCV 2021 Workshop SS
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
DynaBOA Code repositoty for the paper: Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation Shanyan Guan, Jingwei Xu, Michell
A Star Trek Online build tool in Python
SETS - STO Equipment and Trait Selector A Star Trek Online build tool in Python Description Pre-alpha version of build tool for STO Getting Started De
A Django api to display items and their current up-to-date prices from different online retailers in one platform.
A Django api to display items and their current up-to-date prices from different online retailers in one platform. Utilizing scrapy to periodically scrape the latest prices from different online retailers. Store in a PostgreSQL database and make available via an API.
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"
Lidar-Segementation An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from
This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Motion .
ROSEFusion 🌹 This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Moti
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
deeptime Releases: Installation via conda recommended. conda install -c conda-forge deeptime pip install deeptime Documentation: deeptime-ml.github.io
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering
PyTorch and GPyTorch implementation of the paper "Conditioning Sparse Variational Gaussian Processes for Online Decision-making."
Conditioning Sparse Variational Gaussian Processes for Online Decision-making This repository contains a PyTorch and GPyTorch implementation of the pa
K-means clustering is a method used for clustering analysis, especially in data mining and statistics.
K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr
Anomaly Detection Based on Hierarchical Clustering of Mobile Robot Data
We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.
Code for our paper: Online Variational Filtering and Parameter Learning
Variational Filtering To run phi learning on linear gaussian (Fig1a) python linear_gaussian_phi_learning.py To run phi and theta learning on linear g
Bring A Trailer(BAT) is a popular online auction website for enthusiast cars. This traverse auction results and saves them as CSV
BaT Data Grabber Bring A Trailer(BAT) is a popular online auction website for enthusiast cars. This traverse auction results and saves them as CSV Bri
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti
Towards the D-Optimal Online Experiment Design for Recommender Selection (KDD 2021)
Towards the D-Optimal Online Experiment Design for Recommender Selection (KDD 2021) Contact [email protected] or [email protected] for questions
Online-update est un programme python permettant de mettre a jour des dossier et de fichier depuis une adresse web.
Démarrage rapide Online-update est un programme python permettant de mettre a jour des dossier et de fichier depuis une adresse web. Mode préconfiguré
This is the code of "Multi-view Contrastive Graph Clustering" in NeurlPS 2021.
MCGC Description This is the code of "Multi-view Contrastive Graph Clustering" in NeurlPS 2021. Datasets Results ACM DBLP IMDB Amazon photos Amazon co
Deep Reinforcement Learning for Multiplayer Online Battle Arena
MOBA_RL Deep Reinforcement Learning for Multiplayer Online Battle Arena Prerequisite Python 3 gym-derk Tensorflow 2.4.1 Dotaservice of TimZaman Seed R
ConnectLearn is an easy to use and deploy Open-Source Project meant to make it easier for the right students to find the right teachers online.
ConnectLearn ConnectLearn is an easy to use and deploy Open-Source Project meant to make it easier for the right students to find the right teachers o
This app is providing you to track some online products' prices via GMAIL.
Price Tracking App variables and descriptions of that code is in Turkish language. but we're working on translate them into English. This app is provi
This website serves as an online database (hosted via SQLLite) for fictional businesses in the area to store contact information (name, email, phone number, etc.) for fictional customers.
Django-Online-Business-Database-Project this project is still in progress Overview of Website This website serves as an online database (hosted via SQ
Online Boutique is a cloud-native microservices demo application
Online Boutique is a cloud-native microservices demo application. Online Boutique consists of a 10-tier microservices application. The application is
ML From Scratch
ML from Scratch MACHINE LEARNING TOPICS COVERED - FROM SCRATCH Linear Regression Logistic Regression K Means Clustering K Nearest Neighbours Decision
CLI utility for updating the EVE Online static data export in a postgres database
EVE SDE Postgres updater CLI utility for updating the EVE Online static data export postgres database. This has been tested with the Fuzzwork postgres
Python Implementation of algorithms in Graph Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.
Graph Mining Author: Jiayi Chen Time: April 2021 Implemented Algorithms: Network: Scrabing Data, Network Construbtion and Network Measurement (e.g., P